Performance Criteria Assessment of Marine Radionavigation Systems Reliability Under Degradation Factors

IF 2.5 4区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Oleksiy Melnyk, Svitlana Onyshchenko, Iryna Savieleva, Kostyantin Koryakin, Aditya Rio Prabowo, Martin Jurkovič, Vyacheslav Sapiha
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Abstract

The article examines the assessment of the reliability of shipboard radio navigation systems under the influence of degradation factors, with a focus on the impact of both gradual and sudden failures on the continuity of navigation equipment. A classification of failures is presented, environmental and operational factors affecting the efficiency of systems are identified, and the risk of failure is quantified using mathematical modelling. A combined approach to reliability assessment is proposed, which takes into account the probability of failures due to ageing (gradual failures) and external influences (sudden failures), based on an exponential distribution model. An analysis of the mean time between failures (MTBF) of key radio navigation systems was carried out, the probability of failure of at least one element during an operational period of up to 350 days was estimated, and a conceptual model for optimising maintenance was formed. Methodologically, the study is based on the development of a two-factor model that combines the assessment of gradual and sudden failures of shipboard radio navigation systems. To quantify the intensity of failures, an exponential distribution law is used with the integration of correction factors that take into account the influence of the environment and the human factor. The MTBF is calculated taking into account both types of failures, which ensures the complexity of the assessment. The results are supported by tables, graphs and theoretical generalisations that form a reliable basis for improving the fault tolerance of modern marine navigation systems.

Abstract Image

退化因素下海洋无线电导航系统可靠性性能标准评估
本文研究了在退化因素影响下的舰载无线电导航系统可靠性评估,重点研究了逐渐失效和突然失效对导航设备连续性的影响。提出了故障分类,识别了影响系统效率的环境和操作因素,并使用数学模型对故障风险进行了量化。提出了一种基于指数分布模型的综合可靠性评估方法,该方法考虑了由于老化(渐进失效)和外部影响(突然失效)引起的失效概率。对关键无线电导航系统的平均故障间隔时间(MTBF)进行了分析,估计了在长达350天的运行周期内至少一个元件故障的概率,并形成了优化维护的概念模型。从方法上讲,这项研究是基于一种双因素模型的发展,该模型结合了对船上无线电导航系统逐渐和突然失效的评估。为了量化故障的强度,采用了考虑环境和人为因素影响的校正因子的指数分布律。MTBF的计算考虑了这两种类型的故障,这保证了评估的复杂性。结果得到了表格、图表和理论概括的支持,为提高现代航海系统的容错能力奠定了可靠的基础。
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来源期刊
IET Intelligent Transport Systems
IET Intelligent Transport Systems 工程技术-运输科技
CiteScore
6.50
自引率
7.40%
发文量
159
审稿时长
3 months
期刊介绍: IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following: Sustainable traffic solutions Deployments with enabling technologies Pervasive monitoring Applications; demonstrations and evaluation Economic and behavioural analyses of ITS services and scenario Data Integration and analytics Information collection and processing; image processing applications in ITS ITS aspects of electric vehicles Autonomous vehicles; connected vehicle systems; In-vehicle ITS, safety and vulnerable road user aspects Mobility as a service systems Traffic management and control Public transport systems technologies Fleet and public transport logistics Emergency and incident management Demand management and electronic payment systems Traffic related air pollution management Policy and institutional issues Interoperability, standards and architectures Funding scenarios Enforcement Human machine interaction Education, training and outreach Current Special Issue Call for papers: Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf
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